Machine Generated Data
Tags
Amazon
created on 2023-10-25
City | 100 | |
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Architecture | 99.7 | |
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Building | 99.7 | |
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Neighborhood | 99.6 | |
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Urban | 99.4 | |
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Transportation | 98.1 | |
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Vehicle | 98.1 | |
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Truck | 97.6 | |
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Car | 96.5 | |
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Car | 93.3 | |
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School Bus | 90.9 | |
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Building | 89.2 | |
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Road | 86.5 | |
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Machine | 84.7 | |
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Wheel | 84.7 | |
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Bus | 84.1 | |
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Bus | 76.4 | |
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Bus | 73.2 | |
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Street | 57.1 | |
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Moving Van | 56.7 | |
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Van | 56.7 | |
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Wheel | 56.7 | |
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Metropolis | 56.7 | |
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License Plate | 56.3 | |
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High Rise | 55.7 | |
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Apartment Building | 55.6 | |
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Clarifai
created on 2023-10-15
Imagga
created on 2019-02-02
car | 50.6 | |
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freight car | 44.2 | |
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city | 44.1 | |
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wheeled vehicle | 41.5 | |
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architecture | 37.2 | |
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vehicle | 35.8 | |
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building | 34.7 | |
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urban | 31.5 | |
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street | 29.5 | |
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buildings | 26.5 | |
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conveyance | 23.7 | |
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travel | 23.2 | |
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tourism | 18.2 | |
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cityscape | 18 | |
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sky | 17.9 | |
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town | 17.6 | |
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old | 16 | |
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business district | 16 | |
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road | 15.4 | |
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structure | 15.2 | |
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billboard | 14.4 | |
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roof | 14.3 | |
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modern | 14 | |
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houses | 13.6 | |
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house | 12.5 | |
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downtown | 12.5 | |
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equipment | 12.1 | |
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historic | 11.9 | |
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signboard | 11.8 | |
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tower | 11.6 | |
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windows | 11.5 | |
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tramway | 11.1 | |
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landmark | 10.8 | |
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transportation | 10.8 | |
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skyscraper | 10.7 | |
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skyline | 10.5 | |
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transport | 10 | |
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cars | 9.8 | |
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center | 9.6 | |
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high | 9.5 | |
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scene | 9.5 | |
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streetcar | 9.5 | |
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clouds | 9.3 | |
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history | 8.9 | |
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architectural | 8.7 | |
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motor vehicle | 8.6 | |
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residential | 8.6 | |
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traffic | 8.6 | |
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industry | 8.5 | |
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lights | 8.3 | |
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cab | 8.2 | |
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truck | 8.2 | |
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vacation | 8.2 | |
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industrial | 8.2 | |
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office | 8.1 | |
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new | 8.1 | |
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sunset | 8.1 | |
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forklift | 8 | |
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skyscrapers | 7.8 | |
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aerial | 7.8 | |
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factory | 7.7 | |
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wall | 7.7 | |
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train | 7.7 | |
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warehouse | 7.5 | |
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brick | 7.5 | |
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evening | 7.5 | |
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famous | 7.4 | |
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exterior | 7.4 | |
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window | 7.3 | |
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tourist | 7.3 | |
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machine | 7.2 | |
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river | 7.1 | |
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night | 7.1 | |
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Google
created on 2019-02-02
Urban area | 88 | |
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Town | 87.6 | |
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Mode of transport | 85.9 | |
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Architecture | 85 | |
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Neighbourhood | 82.5 | |
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Human settlement | 81.9 | |
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Building | 75.5 | |
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Residential area | 74.3 | |
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City | 73.1 | |
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Street | 67.5 | |
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Facade | 59.4 | |
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Window | 53.8 | |
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House | 53.7 | |
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Color Analysis
Feature analysis
Categories
Imagga
streetview architecture | 95.2% | |
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interior objects | 3.8% | |
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Captions
Microsoft
created on 2019-02-02
a sign on the side of a building | 89.2% | |
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a box truck that is sitting on the side of a building | 46.4% | |
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a truck that is sitting on the side of a building | 46.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/15588430/524,502,101,21/full/0/native.jpg)
ALLIED
![](https://ids.lib.harvard.edu/ids/iiif/15588430/537,527,23,9/full/0/native.jpg)
VAN
![](https://ids.lib.harvard.edu/ids/iiif/15588430/537,527,61,11/full/0/native.jpg)
VAN LINES
![](https://ids.lib.harvard.edu/ids/iiif/15588430/566,528,31,9/full/0/native.jpg)
LINES
![](https://ids.lib.harvard.edu/ids/iiif/15588430/206,508,144,21/full/0/native.jpg)
WEISSBERGER
![](https://ids.lib.harvard.edu/ids/iiif/15588430/29,508,83,17/full/0/native.jpg)
SBERGER
![](https://ids.lib.harvard.edu/ids/iiif/15588430/376,642,14,9/full/0/native.jpg)
675
![](https://ids.lib.harvard.edu/ids/iiif/15588430/206,505,288,28/full/0/native.jpg)
WEISSBERGER ALLIED IED
![](https://ids.lib.harvard.edu/ids/iiif/15588430/102,530,16,11/full/0/native.jpg)
CO
![](https://ids.lib.harvard.edu/ids/iiif/15588430/470,506,24,23/full/0/native.jpg)
IED
![](https://ids.lib.harvard.edu/ids/iiif/15588430/30,528,87,15/full/0/native.jpg)
&55ORAGE CO
![](https://ids.lib.harvard.edu/ids/iiif/15588430/29,478,60,17/full/0/native.jpg)
LIIED
![](https://ids.lib.harvard.edu/ids/iiif/15588430/356,642,34,9/full/0/native.jpg)
8501 675
![](https://ids.lib.harvard.edu/ids/iiif/15588430/30,528,70,15/full/0/native.jpg)
&55ORAGE
![](https://ids.lib.harvard.edu/ids/iiif/15588430/404,544,13,8/full/0/native.jpg)
48
![](https://ids.lib.harvard.edu/ids/iiif/15588430/251,496,47,9/full/0/native.jpg)
PAN LINES
![](https://ids.lib.harvard.edu/ids/iiif/15588430/356,642,17,8/full/0/native.jpg)
8501
![](https://ids.lib.harvard.edu/ids/iiif/15588430/238,644,29,12/full/0/native.jpg)
120074
![](https://ids.lib.harvard.edu/ids/iiif/15588430/238,641,78,16/full/0/native.jpg)
120074 IMM
![](https://ids.lib.harvard.edu/ids/iiif/15588430/272,645,15,8/full/0/native.jpg)
IMM
![](https://ids.lib.harvard.edu/ids/iiif/15588430/30,495,14,5/full/0/native.jpg)
KNO
![](https://ids.lib.harvard.edu/ids/iiif/15588430/399,629,16,7/full/0/native.jpg)
KIT
![](https://ids.lib.harvard.edu/ids/iiif/15588430/30,494,50,8/full/0/native.jpg)
KNO DIES
![](https://ids.lib.harvard.edu/ids/iiif/15588430/45,494,35,8/full/0/native.jpg)
DIES
![](https://ids.lib.harvard.edu/ids/iiif/15588430/481,559,15,5/full/0/native.jpg)
221
![](https://ids.lib.harvard.edu/ids/iiif/15588430/36,479,59,21/full/0/native.jpg)
LLIED
![](https://ids.lib.harvard.edu/ids/iiif/15588430/253,482,67,19/full/0/native.jpg)
ALLIED
![](https://ids.lib.harvard.edu/ids/iiif/15588430/510,505,94,29/full/0/native.jpg)
ALLIE
![](https://ids.lib.harvard.edu/ids/iiif/15588430/540,528,24,12/full/0/native.jpg)
VAN
![](https://ids.lib.harvard.edu/ids/iiif/15588430/568,529,35,13/full/0/native.jpg)
LINES
![](https://ids.lib.harvard.edu/ids/iiif/15588430/36,479,590,63/full/0/native.jpg)
LLIED
ALLIED
WEISS BERGER
LLIEDE ALLIE D
VAN LINES
![](https://ids.lib.harvard.edu/ids/iiif/15588430/210,511,56,18/full/0/native.jpg)
WEISS
![](https://ids.lib.harvard.edu/ids/iiif/15588430/268,513,82,19/full/0/native.jpg)
BERGER
![](https://ids.lib.harvard.edu/ids/iiif/15588430/387,505,102,29/full/0/native.jpg)
LLIEDE
![](https://ids.lib.harvard.edu/ids/iiif/15588430/609,505,17,29/full/0/native.jpg)
D